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20232026
most citedGRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps

14 citations · 18 across the 5 of their papers we have counts for

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Showing 2024 · cs.LGShow all

2 papers · 2 filters

cs.LG2024

Klein Model for Hyperbolic Neural Networks

Yidan Mao, Jing Gu, Marcus C. Werner +1

Hyperbolic neural networks (HNNs) have been proved effective in modeling complex data structures. However, previous works mainly focused on the Poincaré ball model and the hyperbol…

cs.LG2024★ 4 cited

Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks

Jing Gu, Dongmian Zou

Graph anomaly detection plays a vital role for identifying abnormal instances in complex networks. Despite advancements of methodology based on deep learning in recent years, exist…